The robust isolated calmness of spectral norm regularized convex matrix optimization problems

This article aims to provide a series of characterizations of the robust isolated calmness of the Karush-Kuhn-Tucker (KKT) mapping for spectral norm regularized convex optimization problems. By establishing the variational properties of the spectral norm function, we directly prove that the KKT mapp...

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Hlavní autoři:	Yin Ziran, Chen Xiaoyu, Zhang Jihong
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	De Gruyter 2025-08-01
Edice:	Open Mathematics
Témata:	isolated calmness second-order sufficient condition spectral norm strict robinson constraint qualification critical cone 90c25 90c31 65k10
On-line přístup:	https://doi.org/10.1515/math-2025-0189
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